Medizinische Fakultät

Open Opportunities

Extracting Breathing Patterns in 3D Radar Sensor Data University of Berne Medizinische Fakultät The project will utilize radar sensor data, specifically time-series data of 3D point clouds and range-Doppler maps, to analyze body and micro-movements. Initial data preprocessing will involve normalizing and filtering. Subsequently a model will be developed to extract breathing rate using algorithms based on Fourier transform, wavelet transform, and artificial intelligence. The model will be validated against wearable monitoring methods using data from a clinical study involving 40 participants, encompassing over 480 nights of sensor data. Artificial Intelligence and Signal and Image Processing, Biomechanical Engineering, Clinical Engineering, Computer Software, Rehabilitation Engineering Master Thesis

Monitoring of Farrowing Patterns in Pigs using Radar Sensor Data University of Berne Medizinische Fakultät For this project, the student will utilize datasets previously collected from farrowing sows in a controlled farm setting. The data will be cleaned and pre-processed to remove noise and artifacts. The student will explore signal and image processing techniques that can be applied to process radar data, e.g., 3D points with corresponding velocity information (point cloud) and range-doppler maps. Then, the student will design a workflow to identify farrowing patterns, i.e., the time of farrowing and the delivery intervals between piglets with the help of radar signals. Lastly, Machine learning techniques, including supervised pattern recognition models, will be employed to analyse the data and develop an alert system capable of identifying abnormal farrowing patterns. Artificial Intelligence and Signal and Image Processing, Biomechanical Engineering, Clinical Engineering, Computer Software Master Thesis

Neurowissenschaftliches Forschungspraktikum/ Masterarbeit University of Berne Medizinische Fakultät Forschungspraktikum/ Masterarbeit "Erforschung des Gedächtnisses bei Patient:Innen mit Depressionen" Clinical Sciences, Cognitive Science, Neurosciences, Psychology Internship, Lab Practice, Master Thesis, Semester Project

Towards automated real-time analysis of tissue samples next to the operating room University of Berne Medizinische Fakultät Other organizations: Universitätsklinik für Neurochirurgie, ARTORG Center New methods for tissue sample analysis such as Polarimetry are on the rise. The future promises systems that allow performing analysis of resected tissues right next to the operating room in real-time. Application examples include the analysis of tumour borders where a real-time feedback is essential as it influences the decision weather more tissue should be resected or not. The resected tissue samples have sizes and thicknesses that not necessarily match the field of view of the imaging system, making scanning of the sample a necessity. Thus, we are developing an automated positioning stage that will allow placement of the tissue sample with respect to an imaging system in 4 degrees of freedom (3 translation, 1 rotation), reducing manual workload and increasing efficiency. You will develop a motorized stage that automatically places tissue samples with respect to the imaging system and allow for an automated image acquisition process. Engineering and Technology, Medical and Health Sciences Master Thesis